Triple
T30265568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sama Dilaut |
E769630
|
entity |
| Predicate | traditionallyInhabits |
P13132
|
FINISHED |
| Object | Sulu Sea |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sulu Sea | Statement: [Sama Dilaut, traditionallyInhabits, Sulu Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyInhabits Context triple: [Sama Dilaut, traditionallyInhabits, Sulu Sea]
-
A.
traditionallyResidesIn
Indicates that an entity customarily lives or has its long-established home in a particular place or region.
-
B.
traditionallyFoundIn
chosen
Indicates that something is customarily or historically located, used, or present within a particular place, context, or setting.
-
C.
inhabitedIn
Indicates that an entity lives, resides, or has its dwelling within a specified place or location.
-
D.
isCommonlyFoundAt
Indicates that an entity typically or frequently occurs, appears, or is present in a particular location or context.
-
E.
inhabitsCountry
Indicates that an entity lives or resides within the borders of a specified country.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 29, 2026, 7:43 p.m.